ライフサイエンスコーパス: empirical data

1 o prioritize conceptual representations over empirical data.

2 are statistically indistinguishable from the empirical data.

3 d modeling and combine it with very detailed empirical data.

4 designed to reproduce certain small sets of empirical data.

5 med biological experiments to test them with empirical data.

6 ion dynamics and quantify Allee effects with empirical data.

7 herein, we concluded that their results lack empirical data.

8 ction, and remains unresolved due to lack of empirical data.

9 ically assess the fitness of our models with empirical data.

10 ss the parametrization of the model based on empirical data.

11 , but they must be informed and validated by empirical data.

12 teome, and then refines those libraries with empirical data.

13 which are largely unexamined and in need of empirical data.

14 after approximately 70 y, in agreement with empirical data.

15 ior, and compare the simulation results with empirical data.

16 ate outputs that can be compared directly to empirical data.

17 cluster dynamics that is consistent with the empirical data.

18 biological examples to ground discussions in empirical data.

19 associated archaea and bacteria best fit the empirical data.

20 are unlikely to provide a good match to the empirical data.

21 analysis methods by using both simulated and empirical data.

22 pends in part on how well they can reproduce empirical data.

23 diction R2 than the two competing methods in empirical data.

24 odel of our in vitro system, which we fit to empirical data.

25 ication has been hampered by the scarcity of empirical data.

26 change, these models are rarely tested using empirical data.

27 several predictions in excellent accord with empirical data.

28 it with additional possibilities rather than empirical data.

29 This may stem from the lack of empirical data.

30 ifficult to quantify and are based on little empirical data.

31 nd unknown prior root probabilities from the empirical data.

32 complicates measurements of resilience using empirical data.

33 ce sub-sets of six signature patterns in the empirical data.

34 statistically and tested with simulated and empirical data.

35 validate the micro-models using steady-state empirical data.

36 ies can contribute to the validation of such empirical data.

37 of [Formula: see text]-statistics in fitting empirical data.

38 nguish scale symmetry from scale freeness in empirical data.

39 nvestigated if this law is also supported by empirical data.

40 built and constrained by multiple sources of empirical data.

41 their threat status in the face of deficient empirical data.

42 ctly predict validity of the law for genuine empirical data.

43 dels and parameters that can be derived from empirical data.

44 design, where its output accurately reflects empirical data.

45 interactions was developed and calibrated to empirical data.

46 ew preference illusion that we validate with empirical data.

47 al information; of those abstracts reporting empirical data, 100 articles were also assessed in full

48 hen; 2) testing the programme theory through empirical data (80 h non-participant observation, 42 int

49 for use in clinical settings despite limited empirical data about the number and types of incidental

50 reasing amount of experimental support, with empirical data accumulating across species and memory pa

51 cience can address this challenge, producing empirical data across geographic space that, in aggregat

52 Developing models using short-term empirical data allows models to make longer term predict

53 Besides these empirical data, also theoretical considerations contradi

54 UX-based single-molecule tracking, we use an empirical data analysis framework based on Monte Carlo s

55 ssion of lessons learned from simulation and empirical data analysis in the last decade.

56 ers to select the most appropriate method in empirical data analysis.

57 Using empirical data and a health state transition model, we e

58 bution, which provides a good description of empirical data and applies across a continuum of scales.

59 mount of material loss due to wear relies on empirical data and cannot be obtained from any physical

60 Importantly, empirical data and climate models indicate that warming

61 srupting potential of chemicals with limited empirical data and enable the reduction of the use of ha

62 edure-type risk categories were derived with empirical data and expert opinion, as were markers of he

63 e lag in a real biodiversity indicator using empirical data and explore alternative approaches to und

64 bat population was investigated by combining empirical data and in-silico analyses to test hypotheses

65 , yet some of these models have poor fits to empirical data and lack of flexibility in capturing vari

66 odel successfully rationalizes the available empirical data and lays the foundation for future cataly

67 Using empirical data and mathematical modeling, we investigate

68 Here, we compile a synthesis of empirical data and numerical modelling results related t

69 fold task of deriving features directly from empirical data and of using these features for facial im

70 cted theoretical covariations by contrasting empirical data and provide testable hypotheses for yet u

71 The intermediate-scale model accurately fit empirical data and quantified metabolic exchange rates t

72 lassified them into two distinct categories: empirical data and relationship models and power system

73 istency of closed-loop perception (CLP) with empirical data and show that it can be synthesized in a

74 We validate the method using simulated and empirical data and show that the method can accurately i

75 y questioned because of scale limitations of empirical data and the high variability of soil loss acr

76 Furthermore, our empirical data and theoretical model indicate that incre

77 ainty in Earth system model results; models, empirical data and theory converge when precipitation bi

78 is to formally test for segregation lift in empirical data and to quantify its contribution to maint

79 predictions of the model are validated with empirical data and with Monte Carlo simulations.

80 resentations, for unifying multiple types of empirical data, and for facilitating both theoretical an

81 model of a single admixture did not fit the empirical data, and instead favour a model of multiple e

82 though this assumption is rarely tested with empirical data, and may be incorrect when territoriality

83 and spatial synchronization patterns of the empirical data, and reveals that multiple clusters that

84 underlain by consistent relationships in our empirical data ( approximately 2,100 species), wherein,

85 be mediated by microbial physiology, but no empirical data are available on the response of soil car

86 , and other key processes in soils, very few empirical data are available.

87 e possibility of endemic subspecies, and few empirical data are available.

88 Empirical data are consistent with previous modeling: te

89 Our empirical data are explained by modeling, demonstrating

90 tation hypertensive surge may be protective, empirical data are few.

91 important factor underlying such variation, empirical data are lacking on the relationships between

92 The study also found that more empirical data are needed on the uptake of cimetidine, f

93 ocal models may address this deficiency, but empirical data are needed to constrain their representat

94 n represent a prodrome to neurodegeneration; empirical data are required to explore whether the same

95 ability and persistence, but community-level empirical data are scarce, particularly for effects on s

96 and evolutionary processes but quantitative empirical data are unfortunately scarce.

97 l explanations, paralleling the way in which empirical data are used to test hypotheses.

98 However, empirical data as to the topography of fitness landscape

99 rts pattern separation by obtaining critical empirical data at the representational level: the level

100 ly reproduces characteristic changes seen in empirical data between the resting state and speech prod

101 lux and turnover with estimates derived from empirical data, bringing together the strength of the mo

102 n science, language is often subordinated to empirical data, but words can influence our ability to u

103 s) from the northeastern Pacific to show how empirical data can be coupled with model predictions to

104 literature evaluating how digitally derived empirical data can inform our understanding of health be

105 network information, and we demonstrate how empirical data can inform the extent of between-cluster

106 Since empirical data cannot be directly mapped to ideal multi-

107 However, empirical data clearly suggest that traits can be acquir

108 were tested using cross validation based on empirical data collected from marine fisheries surveys,

109 Our empirical data combined with the simulation results of c

110 rse than a classical nonneutral alternative: empirical data consistently show greater heterogeneity o

111 power-law or concave curvature) and observed empirical data (convex curvature) for the allometric sca

112 These empirical data demonstrate that contrasting associations

113 he degree to which this approach is based on empirical data derived from studies of progressive disea

114 Drawing upon an extensive body of empirical data, derived largely from animal models, and

115 However, there are no current empirical data documenting the number of people living w

116 ble projections performed well compared with empirical data, emphasizing the benefits of multimodel i

117 Empirical data, especially at the local scale, are rare.

118 Here we combine empirical data, evolutionary theory, and computer simula

119 Using extensive simulations and empirical data examples, we show that our new method (LA

120 No decisive empirical data exist to distinguish between these two co

121 l cells and aggregate sizes were compared to empirical data for AOM rates and intra-aggregate spatial

122 Against empirical data for Escherichia coli regulatory interacti

123 ese models have mainly been derived based on empirical data for lipophilic neutral compounds and may

124 We obtained empirical data for patients screened between between Dec

125 to simulate diverse ecosystem types and with empirical data for real ecosystems.

126 tal) transmission and then fit this model to empirical data from 17 countries affected by an emerging

127 We parameterise the model using 7 years of empirical data from 2007-2014 and show that the observed

128 Our model predictions correspond well with empirical data from a cross-cultural survey and with num

129 We use empirical data from a globally important population in W

130 We analyzed empirical data from a large-scale trans-ethnic rheumatoi

131 Using empirical data from a reef fish, Sparisoma viride (Scari

132 lnerability and species' distributions using empirical data from a tropical lizard.

133 ultiple times over an extended period, using empirical data from a wild badger population naturally i

134 -improving analytic methods for retrieval of empirical data from archaeological sites, together with

135 e model to reproduce observed dynamics using empirical data from Caribbean reefs.

136 t attractor network models' predictions with empirical data from continuous sequences of trials.

137 Empirical data from genomic sequencing along with prospe

138 However, to validate any theory, empirical data from large-scale power systems are necess

139 These metastable dynamics accord with empirical data from multiple imaging modalities, includi

140 Empirical data from necropsies of deceased animals were

141 dynamic system of contact networks based on empirical data from proximity logging collars on a wild

142 and theoretical results are consistent with empirical data from ten representative cities.

143 Here we analyse empirical data from terrestrial (n = 4), marine (n = 25)

144 Additionally, we used the empirical data from the experiment to develop a stochast

145 Empirical data from the GENEVA project on venous thrombo

146 The model was calibrated leveraging empirical data from the New Mexico Surveillance, Epidemi

147 ds, marine mammals, and sea turtles based on empirical data from the three most commonly used types o

148 s of fragmentation, with a focus on how well empirical data from this system follow theoretical expec

149 Bottom-up paradigms prioritize empirical data from which to derive conceptualizations o

150 We posit here that sufficient empirical data has accumulated to build a coherent biolo

151 ever, the applicability of this framework to empirical data has been limited because equilibrium dyna

152 control measures on epidemic dynamics using empirical data has not been assessed.

153 act of the learning environment on trainees, empirical data have not been available to examine and co

154 ant of vaccine failure, although the limited empirical data highlight a need for additional studies t

155 larity with drugs of known fetal effect) and empirical data (i.e., derived from Electronic Health Rec

156 he three problems of model-based analysis of empirical data: (i) data simulation, (ii) parameter esti

157 uitive approach for reconciling observed and empirical data, improving our ability to explore the lin

158 e frequency vs. magnitude and a close fit to empirical data in 62% of cases.

159 Using 9 years empirical data in a PUUV endemic area in Central Finland

160 We stress the importance of reporting empirical data in standardized ways to enable meta-analy

161 By directly comparing with the empirical data in the WCS, our study demonstrated that:

162 in the absence of detailed, system-specific empirical data.In a changing world, the ability to predi

163 tematic comparison of the model outputs with empirical data, including local census data from forest

164 However, empirical data indicate that Q(10) and Arrhenius model a

165 in simulated structures, in tandem with the empirical data, indicated that the history effect and as

166 s sufficient for DNA replication, supporting empirical data indicating that impaired nuclear de novo

167 From this empirical data, inferences for future system performance

168 However, there is a distinct lack of empirical data investigating the effects of social densi

169 The paucity of empirical data is a limitation of these findings.

170 plant-microbe systems, for which a wealth of empirical data is available, but the principles and appr

171 disease spread parameters for which detailed empirical data is lacking.

172 Since obtaining empirical data is time-consuming, we generated a model u

173 lt, which we test against both numerical and empirical data, is an effective dynamic model that can p

174 tion of a core proteome that is supported by empirical data, is understood at the systems-level, and

175 lnerability to climate change-but meaningful empirical data lag behind theory.

176 w theoretical considerations and a review of empirical data lead to the hypothesis that some salient

177 In particular, when integrated with empirical data, models enable understanding of underlyin

178 the Southern Ocean and represents the first empirical data obtained from this region in 25 years.

179 Discrepancies between model output and empirical data occurred when the monthly time step of th

180 ies, with a correlation of modeled values to empirical data of 0.9929.

181 model and demonstrates, using simulated and empirical data of a high error rate (say, >0.5), that it

182 assical Bayesian probability in modeling the empirical data of cognitive science.

183 ings we analyzed, independently, large-scale empirical data of influenza diagnosis from the two large

184 Empirical data of our proposed microbial energetics appr

185 We then generated empirical data of the thermal germination response from

186 However, empirical data on 'learning life histories'-the balance

187 Tests of these metrics with empirical data on a host-parasitoid interaction yield re

188 We used all available empirical data on abortion methods, providers, and setti

189 carnivore, primate and ungulate species, but empirical data on carnivore macroparasite prevalence sho

190 We incorporate empirical data on CRISPR-induced mutation frequencies in

191 strategy could be improved by incorporating empirical data on deviations from ideal assumptions abou

192 Further analyses provided empirical data on extrachromosomal prophages and coinfec

193 We use empirical data on health-seeking behaviour and health-sy

194 However, there are relatively few empirical data on how dispersal might affect fungal comm

195 ation and medication adherence, there are no empirical data on how the informational and relational a

196 evelopment must more realistically represent empirical data on interaction strengths, population dyna

197 Included papers provided empirical data on key aspects of nurses' pressure ulcer

198 In this systematic analysis, we adjusted empirical data on levels and causes of child mortality c

199 More empirical data on pharyngeal gonorrhoea infections, and

200 internal organs is to address the paucity of empirical data on thanatomicrobiomic succession caused b

201 tients with HCV infection were excluded, and empirical data on the effectiveness of future therapies

202 Empirical data on the effectiveness of the strategy are

203 Empirical data on the human history of forest inventory

204 This system provides empirical data on the importance of long-distance disper

205 We provide empirical data on the lancet fluke's clonal diversity wi

206 Empirical data on the link between stress and cardiovasc

207 ystem functioning; however, there are little empirical data on the NPP of human-modified ecosystems,

208 reater than two, while remaining faithful to empirical data on their low-dimensional structure.

209 Without empirical data on these reasons, the policies developed

210 However, empirical data on this salt effect are very sparse.

211 stratified transmission model, incorporating empirical data on US contact patterns and explicitly mod

212 al descriptions of the peptides derived from empirical data or calculated by molecular dynamics (MD)

213 signs but does not attempt meta-synthesis of empirical data or quality assessment.

214 Consistent with empirical data, our model predicts that more transmitted

215 y reviewed, 796 were from articles reporting empirical data; P values were reported in 15.7% (125/796

216 t of competing methods on both simulated and empirical data, particularly when the missing rate is hi

217 Both theory and empirical data point to an upper bound on the number of

218 istribution in the environment and by scarce empirical data quantifying the interaction of nanomateri

219 The scarcity of empirical data regarding fish species that may utilize d

220 ul modeling of the carbon (C) cycle requires empirical data regarding species-specific root responses

221 Empirical data regarding survival and quality of life ov

222 analysis, we used nationally-representative empirical data related to neonatal mortality, including

223 eave distinct population genomic signatures, empirical data remains sparse.

224 The empirical data reveal shifts in the frequency distributi

225 erence methods on large-scale datasets using empirical data sampled from natural mouse populations an

226 he non-covalent interactions defined through empirical data set analyses to the computationally deriv

227 the expected ability to detect HFCs using an empirical data set of 200 microsatellites and 412 single

228 a robust predictor (R(2)=0.78) of Ne/N in an empirical data set of life tables for 63 animal and plan

229 The approach is applied to an empirical data set of SNP genotypes from a population of

230 Proposed methods are demonstrated with two empirical data sets and simulations.

231 Using several empirical data sets of social temporal networks, we show

232 tion accuracy of SIFTER through expansion of empirical data sets used for training as well as improve

233 trate the framework with applications to two empirical data sets.

234 Our empirical data show that landscape simplification reduce

235 However, empirical data show that only a minority of secondary in

236 Complementally, our empirical data showed a positive correlation between SNc

237 Empirical data showed the genetic pleiotropy between nic

238 ing of the association between gene sets and empirical data sources.

239 ions to best match the structure of specific empirical data sources.

240 Using empirical data spanning >250 coral reefs, we show how tr

241 Applying the test to empirical data spanning over a century shows strong dire

242 Empirical data suggest that competition for the benefits

243 Empirical data suggest that inversions in many species c

244 Model and empirical data suggest that limited carbon and water exc

245 Computational models and empirical data suggest that, in adults, this process is

246 This synthesis of theory and empirical data suggests that human modification of the E

247 methodological limitations and a paucity of empirical data supporting an interaction between systema

248 Empirical data supporting this prediction have remained

249 In our empirical data, SVA did not fully correct for cell-type

250 ic model gives a significantly better fit to empirical data than IPCC Tier 1 and 2 calculations.

251 cs of supergene mimicry, there are almost no empirical data that address the critical issue of what a

252 Here we show in the dual route model and empirical data that both enhancement and impairment effe

253 ips (PP-LFERs) derived from training sets of empirical data that did not include cVMS generally did n

254 It has been asserted, primarily based on empirical data, that the complexity of plants and animal

255 analytically and by analysing simulated and empirical data, that the two modified estimators are muc

256 When fit to empirical data, the VKF is better behaved than alternati

257 biological and observational processes using empirical data to assess effects of animal scale of move

258 In this study, we use both simulations and empirical data to compare the performance of the CBPS wi

259 e use a mechanistic approach supplemented by empirical data to consider the linked effects of warming

260 g statistical theory and use simulations and empirical data to demonstrate substantial improvements p

261 tages and limitations, although there are no empirical data to demonstrate that any of the reviewed s

262 re existing systems, coupled with additional empirical data to evaluate the effectiveness of specific

263 r information about pathways in concert with empirical data to identify and quantify complex interact

264 In this article, we use simulated and empirical data to illustrate the conditions under which

265 incorporate these findings from large-scale, empirical data to improve our computational design rules

266 Decision makers worldwide are in need of empirical data to inform and implement emergency respons

267 A recent study used both simulations and empirical data to investigate different forms of selecti

268 titrophic interaction networks, and coupling empirical data to models of competition.

269 However, there are few empirical data to reveal such bioaccumulation tendencies

270 pproach, the Metabolic Theory of Ecology and empirical data to show that animal movement displays mul

271 Here we provide theoretical and empirical data to show that this parameter can be determ

272 reported over the last decade, there are no empirical data to suggest they compromise the efficacy o

273 There were limited empirical data to support a start age of 45 years.

274 By providing empirical data to support the assumptions used in CN-TBM

275 lack both a theoretical framework and solid empirical data to understand domestication impacts on pl

276 These results provide for the first time empirical data to understand how cortical NMDA transmiss

277 We use empirical data to validate air-dust partitioning models

278 nins, but few studies have provided detailed empirical data to validate the assumed link between morp

279 ant discoveries will go unrecognized and the empirical data used to build models explaining the peopl

280 e conducted extensive simulations, generated empirical data using existing WGS and WES data sets and

281 e lack of large-scale, continuously evolving empirical data usually limits the study of networks to t

282 approach is challenged by the fact that the empirical data violate several of the model's simplifyin

283 nalysed by theory but amply substantiated by empirical data, warming can cause an increase in consume

284 Empirical data was compared to a theoretical framework t

285 A limitation of these empirical data was uncertainty in the identification of

286 a Markov transition matrix constructed from empirical data, we demonstrate that the 3-to-1 upward/do

287 rait IBM' against three independent lines of empirical data, we determine that the approach produces

288 Based on such empirical data, we developed a mixed-transmission dynami

289 Using empirical data, we developed the first ecological model

290 In agreement with empirical data, we find that mutation rate is inversely

291 Through extensive simulations and empirical data, we have demonstrated that our approach i

292 ed on reproducible characteristic aspects of empirical data, we suggest a number of extensions of the

293 By combining a conceptual model and empirical data, we test whether eDNA transported in rive

294 Our model reproduces the empirical data well and shows that the ecological proces

295 The empirical data were consistent with numerical results fr

296 Furthermore, to assess performance on empirical data where the ground truth is unknown, we int

297 proaches, informed by normative analysis and empirical data, will continue to evolve alongside the sc

298 Doehl et al. have combined empirical data with computer simulation to demonstrate t

299 ary supplements during cancer treatment, few empirical data with regard to their safety or efficacy e

300 sed methods to infer these interactions from empirical data, yet models parameterised using such data